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arXiv 2005.09897math.CO
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随机边扰动下脆弱的次要单调参数

Fragile minor-monotone parameters under random edge perturbation

Dong Yeap Kang, Mihyun Kang, Jaehoon Kim, Sang-il Oum

AI总结:

研究随机边扰动对图参数的影响,发现少量随机边可显著增加树宽、亏泛数和哈迪沃数。

摘要:

我们对如何通过添加随机边到基础图H来显著增加结果图R的自然次要单调图参数进行了定量分析。具体来说,我们表明,如果R仅通过添加少量随机边从连通图H获得,那么R的树宽、亏泛数和哈迪沃数会变得非常大,无论H的结构如何。

英文摘要:

We conduct a quantitative analysis of how many random edges need to be added to a base graph $H$ in order to significantly increase natural minor-monotone graph parameters of the resulting graph $R$. Specifically, we show that if $R$ is obtained from a connected graph $H$ by adding only a few random edges, the tree-width, genus, and Hadwiger number of $R$ become very large, irrespective of the structure of $H$.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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